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VISION-LIST digest 29.4

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Jun 12, 2010, 9:09:34 PM6/12/10

VISION-LIST Digest Sat Jun 12 18:29:03 PST 2010 Volume 29 : Issue 4

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Today's Topics:

Q&A : Forthcoming book: Computer Vision: Algorithms and Apps
Q&A : Vision localisation
JOB : Researcher - Xerox Research - Grenoble
JOB : VLS: Post article
JOB : Postdoc - Univ Windsor - Ontario, Canada
JOB : Postdoc positions - Univ Pennsylvania - PA, USA
JOB : Postdoctor Opening - RPI - Troy, NY
JOB : PhD Position - Univ Applied Sciences - Switzerland
JOB : Research Scientist - Siemens - China
JOB : Interdisciplinary - USGS - Flagstaff, AZ
JOB : Postdoc - UCLA - LA, CA
JOB : Developer - Mines Paristech - Fontainebleau, FR
JOB : Research Scientist/Eng - Sharp Labs - Oxford, UK
JOB : Software Engineers - Eykona Tech Ltd - Oxford, UK

----------------------------------------------------------------------

From: Rick Szeliski <szel...@microsoft.com>
Subject: Q&A : Forthcoming book: Computer Vision: Algorithms and Apps

I'm happy to announce that I'm nearly done with my new textbook,
Computer Vision: Algorithms and Applications,
http://szeliski.org/Book
which will be published by Springer this fall.

If you have any last-minute corrections or suggestions on any of the
material, please send me e-mail at szel...@microsoft.com in the next
few weeks.

Thanks,
Richard Szeliski
Microsoft Research

------------------------------

From: Sjur Vestli <sjur....@logobject.ch>
Subject: Q&A : Vision localisation

Does anybody know of "Industrial Grade" vision based mobile robot
localisation comparable to the solution by seegrid ( http://www.seegrid.com ).

Kind regards,
Sjur Vestli, Logobject AG, Baslerstrasse 30, CH-8048 Zurich
mailto:sjur....@logobject.ch

------------------------------

From: "Saunders, Craig" <Craig.S...@xrce.xerox.com>
Subject: JOB : Researcher - Xerox Research - Grenoble

Job Opening: Computer Vision/Machine Learning Researchers at Xerox
Research Centre Europe, Grenoble.

A computer vision research group at Xerox is expanding: Seeking one
permanent and two postdoctoral researchers

The Textual and Visual Pattern Analysis (TVPA) group at Xerox Research
Centre Europe, Grenoble, is expanding and is seeking talented
researchers to join the existing team. The group is a world-leading team
that specializes in understanding, organizing, retrieving and enhancing
both visual and hybrid content. Our research is the result of combining
state of the art knowledge and skills from different fields such as
machine learning, large-scale data mining, image analysis, and text
retrieval. The group has extensive experience and a strong track record
of published articles, patents and system delivery in the application
domains of document analysis, image categorization, image processing,
hybrid information access and applied visual aesthetics. Current
challenges include very large scale image classification and retrieval,
leveraging text and social network information; using them in
application domains for effective management and use of large scale
digital asset repositories, and methods of content creation.

Due to a range of National and European collaborative projects in
conjunction with academic partners, and also a wide range of internal
projects researching areas relevant to Xerox (including the recent
acquisition of ACS) business, the group is looking for talented
researchers with skills than can both integrate well and complement the
current team. For all positions, a strong background in machine learning
and image or document processing is essential. We are seeking
specifically (but not exclusively) strong skills in the following areas:

Image features and understanding for still images and video: There is a
current need for both developing our existing image technologies, and
also expanding them to a range of specific application domains including
the fields of video surveillance and medical image analysis. We are
looking for talented researchers to research and develop appropriate
image features and algorithms for both still, video and multispectral
images.

Document Analysis: Building on Xerox's world-leading technology for
analyzing scanned documents of all types. We are seeking a researcher to
strengthen this research and focus on document challenges such as
document recognition, document separation and handwriting recognition.
The researcher will require a strong background in this area, and also
preferably large-scale learning in order to tackle a range of problems
in designing features and algorithms to assist in high-volume document
workflow scenarios which require a range of classification and
information extraction techniques.

Research conducted within the group is carried out in conjunction with
academic and industrial partners, and also with other Xerox research
centers worldwide. For all positions researchers will have the
opportunity to and be expected to publish, write papers, participate in
grant funded activities, lead researchers and also interface with
industrial business groups.

Requirements (all positions):
* PhD in Computer Science in the area(s) of Machine Learning and/or
Computer Vision
* Strong publication record and evidence of implementing systems
* Strong English-language written and oral communications skills

For the permanent position:
* Evidence of leading fellow researchers
* Evidence of flexibility in research area or application domain
* Strong track record of working in projects; industrial-facing aspects
and previous experience in liaising with software engineers to deliver
systems is also desirable.

Application instructions

The official job posting can be found here:
http://www.xrce.xerox.com/About-XRCE/Jobs/A-computer-vision-research-group-at-Xerox-is-expanding-Seeking-one-permanent-and-two-postdoctoral-researchers

Informal enquiries are welcome and can be made in the first instance to
the area manager: mailto:craig.s...@xrce.xerox.com

To submit an application, please send your CV and cover letter to both
mailto:xrce-ca...@xrce.xerox.com and mailto:craig.s...@xrce.xerox.com

About XRCE

The Xerox Research Centre Europe (XRCE) is a young, dynamic research
organization, which aims at creating innovative document technologies to
support growth in Xerox content and document management services across
the different Xerox businesses.

XRCE is both a multicultural and multidisciplinary organization set in
Grenoble, France. Our domains of research stretch from the social
sciences to computing. We have renowned expertise in natural language
applications, work practice studies, image-based document processing,
distributed applications and knowledge management agents. The diversity
of culture and disciplines at XRCE makes it an interesting and
stimulating environment to work in, leading to often unexpected
discoveries!

XRCE is part of the Xerox Innovation Group made up of 800 researchers
and engineers in four world-renowned research and technology centres.
Xerox is an equal opportunity employer. XRCE ensures equal opportunities
for all.

The "Charte de la diversite", adopted by Xerox, proves our engagement
in favour of cultural, ethnic and social diversity.

The Grenoble site is set in a park in the heart of the French Alps in a
stunning location only a few kilometers from the city centre. The city
of Grenoble has a large scientific community made up of national
research institutes (CNRS, Universities, INRIA) and private industries.
Stimulated also by the presence of a large student community, Grenoble
has become a resolutely modern city, with a rich heritage and a vibrant
cultural scene. It is a lively and cosmopolitan place, offering a host
of leisure opportunities. Winter sports resorts just half an hour from
campus and three natural parks at the city limits make running, skiing,
trekking, climbing and paragliding easily available. Grenoble is close
to both the Swiss and Italian borders.

Craig Saunders, PhD.
Research Scientist and Area Manager
Textual and Visual Pattern Analysis Group
Xerox Research Centre Europe
6, Chemin de Maupertuis, 38240 Meylan France =20
Tel.: +33 (0)4 76.61.50.82
mailto:Craig.S...@xrce.xerox.com

------------------------------

From: "David Clausi" <dcl...@engmail.uwaterloo.ca>
Subject: JOB : VLS: Post article

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JOB: Post-Doctoral Fellowship at the University of Waterloo (Canada)

Prof. David A. Clausi, Professor in the Department of Systems Design
Engineering at the renowned University of Waterloo (www.uwaterloo.ca
<http://www.uwaterloo.ca/> ) (Canada), is looking for a post-doctoral fellow
(PDF) in the field of computer vision.

The project involves the automated interpretation of remotely sensed
imagery, with an emphasis on operational classification of satellite radar
(SAR) sea ice imagery. The research is conducted in direct cooperation with
the Canadian Ice Service (CIS), the agency responsible for monitoring ice
under Canadian jurisdiction for both navigational (hazard avoidance) and
environmental (e.g. global warming) applications. CIS has an active interest
in the use of automated algorithms for classification of SAR sea ice
imagery, and this supports an applied research environment.

Interested people should have knowledge in fields such as computer vision,
image segmentation, and pattern recognition. Experience in remote sensing
systems is desirable, but not a pre-requisite. We are focusing our efforts
on novel Markov image models for both segmentation and classification and
experience using such approaches is an asset. The techniques can be applied
to other remote sensing imagery and we are interested in making more
research progress in such fields.

A leadership role to help direct the current research efforts of graduate
students is part of the position, should the incumbent desire such an
opportunity.

Full funding is available. Awardees will be part of the Vision and Image
Processing <http://rousseau.uwaterloo.ca/> (VIP) research group at the
University of Waterloo. Candidates need a solid grasp of the English
language to competently communicate with the research team and publish
research results.

For additional information and/or to submit a CV, email Prof. Clausi
directly (dcl...@engmail.uwaterloo.ca). Please provide the contact
information (mailing addresses and email) for at least three references.

The University of Waterloo is a highly-ranked Canadian university with a
world-class reputation in high tech fields located an hour drive west of
Toronto, Ontario. More information about the university can be found here:
http://www.uwaterloo.ca/aboutuw/index.php and rankings can be found here:
http://communications.uwaterloo.ca/macleans.html.

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w:st=3D"on">University</st1:PlaceType>
of <st1:PlaceName w:st=3D"on">Waterloo</st1:PlaceName> =
(<st1:country-region
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<o:p> </o:p>

Prof. David A. Clausi, Professor in the Department of Systems =
Design
Engineering at the renowned <st1:PlaceType =
w:st=3D"on">University</st1:PlaceType>
of <st1:PlaceName w:st=3D"on">Waterloo</st1:PlaceName> (<a
href=3D"http://www.uwaterloo.ca/">www.uwaterloo.ca</a>) (<st1:place =
w:st=3D"on"><st1:country-region
w:st=3D"on">Canada</st1:country-region></st1:place>), is looking for a =
post-doctoral
fellow (PDF) in the field of computer vision. =
  <o:p></o:p>

<o:p> </o:p>

The project involves the automated interpretation of remotely =
sensed
imagery, with an emphasis on operational classification of satellite =
radar
(SAR) sea ice imagery. The research is conducted in direct cooperation =
with the
Canadian Ice Service (CIS), the agency responsible for monitoring ice =
under
Canadian jurisdiction for both navigational (hazard avoidance) and
environmental (e.g. global warming) applications. CIS has an active =
interest in
the use of automated algorithms for classification of SAR sea ice =
imagery, and
this supports an applied research environment.  =
<o:p></o:p>

<o:p> </o:p>

Interested people should have knowledge in fields such as =
computer
vision, image segmentation, and pattern recognition.  Experience in =
remote sensing
systems is desirable, but not a pre-requisite.  We are focusing our =
efforts on
novel Markov image models for both segmentation and classification and
experience using such approaches is an asset.  The techniques can =
be applied to
other remote sensing imagery and we are interested in making more =
research
progress in such fields.<o:p></o:p>

<o:p> </o:p>

A leadership role to help direct the current research efforts of
graduate students is part of the position, should the incumbent desire =
such an
opportunity.<o:p></o:p>

<o:p> </o:p>

Full funding is available.  Awardees will be part of the <a
href=3D"http://rousseau.uwaterloo.ca/">Vision and Image Processing</a> =
(<st1:PersonName
w:st=3D"on">VIP</st1:PersonName>) research group at the <st1:place =
w:st=3D"on"><st1:PlaceType
w:st=3D"on">University</st1:PlaceType> of <st1:PlaceName =
w:st=3D"on">Waterloo</st1:PlaceName></st1:place>. 
Candidates need a solid grasp of the English language to competently =
communicate
with the research team and publish research =
results.<o:p></o:p>

<o:p> </o:p>

For additional information and/or to submit a CV, email Prof. =
Clausi
directly (<a =
href=3D"mailto:dcl...@engmail.uwaterloo.ca">dcl...@engmail.uwaterloo.ca=
</a>).
 Please provide the contact information (mailing addresses and =
email) for at
least three references.<o:p></o:p>

<o:p> </o:p>

The <st1:PlaceType w:st=3D"on">University</st1:PlaceType> of =
<st1:PlaceName
w:st=3D"on">Waterloo</st1:PlaceName> is a highly-ranked Canadian =
university with
a world-class reputation in high tech fields located an hour drive west =
of <st1:place
w:st=3D"on"><st1:City w:st=3D"on">Toronto</st1:City>, <st1:State =
w:st=3D"on">Ontario</st1:State></st1:place>. 
More information about the university can be found here: <a
href=3D"http://www.uwaterloo.ca/aboutuw/index.php">http://www.uwaterloo.c=
a/aboutuw/index.php</a>
and rankings can be found here: <a
href=3D"http://communications.uwaterloo.ca/macleans.html">http://communic=
ations.uwaterloo.ca/macleans.html</a>.<o:p></o:p>

<o:p> </o:p>

<o:p> </o:p>

<o:p> </o:p>

<o:p> </o:p>

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------------------------------

From: Guanghui Wang <ghw...@uwindsor.ca>
Subject: JOB : Postdoc - Univ Windsor - Ontario, Canada

Postdoctoral Research Position and Doctoral Position
University of Windsor
Department: Electrical and Computer Engineering
Location: Windsor, Ontario, Canada

Description: The Computer Vision and Sensing Systems Laboratory at
University of Windsor is an organized research unit founded in 2006
that serves as a focus for quality research in computer vision,
wireless sensor networks and sensor data fusion techniques. We have
several openings for both postdoctoral research position and doctoral
position.

For postdoctoral research position, successful candidates should have
a recent PhD degree in CS or EE, with strong background and research
experience in one or two areas of computer vision, pattern
recognition, image processing, machine leaning, FPGA design and
programming, and sensor networks. A strong track record in research
with publications in top journals and conferences is a definite
plus. The position is available for one year in the first instance,
and may be renewed for longer periods. The salary for this position is
competitive and the starting date is flexible.

For doctoral position, I am looking for several enthusiastic,
creative, and hard-working graduate students with strong background in
mathematics and programming. Some experience in one or two areas of
computer vision, pattern recognition, image processing, machine
leaning, FPGA design and programming, and sensor networks would be a
plus. Successful candidates should meet the admission requirements of
the university, and make application through the university
http://uwindsor.ca/admissions . You will receive full funding support
after admitted.

Interested candidates for both positions please contact me via email
at mailto:j...@uwindsor.ca , including your CV, a summary of research
experience and statements, and the name and contact information of
three references.

Person to contact: Dr. Jonathan Wu
mailto:j...@uwindsor.ca

------------------------------

From: "Kontos, Despina" <Despina...@uphs.upenn.edu>
Subject: JOB : Postdoc positions - Univ Pennsylvania - PA, USA

Postdoctoral Positions, Department of Radiology, University of
Pennsylvania

The Computational Breast Imaging Group (CBIG) of the Radiology
Department at the University of Pennsylvania is accepting applications
for postdoctoral positions. We are developing an emerging research
program to investigate the role of imaging as a quantitative biomarker
for improving personalized clinical decision making for breast cancer
screening, prognosis, and response to treatment. Positions are
available in the following research areas:

Breast cancer risk estimation

The position involves developing novel methods to analyze breast density
and parenchymal patterns from digital mammography (DM) images and
estimating the predictive value of these imaging features to assess a
woman's risk of breast cancer. The goal is to develop a new predictive
model that incorporates imaging biomarkers and clinical breast cancer
risk factors to improve breast cancer risk estimation for women. This
project is supported by the Department of Defense (DOD) and by the
American Cancer Society (ACS). Funding is secured for four years.

Breast cancer prognostic assessment

The position involves developing novel methods to quantify breast
dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) tumor
structural and functional characteristics in order to investigate
associations between the imaging phenotype of breast cancer and breast
cancer prognosis. The goal is to develop a new predictive model that
incorporates clinical information, prognostic assays, and quantitative
imaging biomarkers to assess risk of recurrence based on specific
treatment options. This project is supported by the University of
Pennsylvania Institute for Translational Medicine and Therapeutics
(ITMAT). Funding is secured for three years.

We are seeking highly motivated individuals who have demonstrated
academic excellence, including publications. Successful candidates
should have a PhD (or equivalent) in Electrical or Biomedical
Engineering, or Computer Science, with a strong background on biomedical
image analysis with emphasis on image feature extraction, image
segmentation, shape statistics, pattern recognition and machine
learning. Competence in programming methods (Matlab, C/C++, and LINUX
scripting) and quantitative analytical methods is essential. Applicants
should demonstrate the ability to effectively communicate both orally
and in writing. Duties will include designing and implementing
experiments, data collection and analysis, and writing and presenting
results.

The CBIG is a newly formed group of the Breast Imaging Division of the
Radiology department with a mission to act as a translational catalyst
between computational imaging science and clinical breast cancer
research. CBIG collaborates with faculty within Radiology
( http://www.uphs.upenn.edu/radiology/research/ ), the Abramson Cancer
Center, the Institute for the Translational Medicine and Therapeutics,
and the Center for Clinical Epidemiology and Biostatistics. Affiliated
faculty include experts in informatics, medical physics, genetics,
pathology, oncology, biostatistics, epidemiology and primary care.
Successful applicants will join a vibrant collaborative research
environment and will have the opportunity to work closely with clinical
investigators and gain a first-hand experience of our clinical breast
imaging program
( http://www.uphs.upenn.edu/radiology/patient/services/women/ ).

Applications should indicate the research area of interest and include a
letter of motivation, a curriculum vitae, and names and addresses of
three references. Salary is based on the NIH scale. Starting date for
the position is flexible.

For more details and to apply contact:

Despina Kontos, Ph.D.
Research Assistant Professor
Department of Radiology, 1 Silverstein Bldg.
Hospital of the University of Pennsylvania
3400 Spruce Street, Philadelphia, PA 19104-4206
ph: 215-746-8757 / fx: 215-746-8764
mailto:Despina...@uphs.upenn.edu

------------------------------

From: Qiang Ji <q...@ecse.rpi.edu>
Subject: JOB : Postdoctor Opening - RPI - Troy, NY

A postdoctoral research associate is available immediately with the
Intelligent Systems Laboratory (ISL) at Rensselaer Polytechnic
Institute (RPI) in Troy, NY. We are looking for candidates with
strong experience in one or more of the following areas: facial
analysis and recognition, articulated human body tracking, and human
gesture and activity recognition. Knowledge and experience in
probabilistic graphical models (DBN, HMM, MRF) and their application
in these fields are especially welcome. Interested candidates, please
contact Dr. Qiang Ji at mailto:q...@ecse.rpi.edu . Additional
information about research at ISL may be found at
http://www.ecse.rpi.edu/~qji/

------------------------------

From: henning...@sim.hcuge.ch
Subject: JOB : PhD Position - Univ Applied Sciences - Switzerland

PhD Position in medical image processing and information retrieval,
University of Applied Sciences Western Switzerland (HES-SO)

Applications are invited for a position as a PhD candidate in the
MedGIFT group at the University of Applied Sciences Western
Switzerland (HES-SO), Sierre. The successful applicant will join a
team of researchers working on algorithms, data structures and
representations of medical knowledge using structured and unstructured
textual data as well as multidimensional and multimodal images. The
analysis of images and particularly the extraction of multidimensional
features using for example wavelets will be carried out in
collaboration with a Postdoctoral researcher. The machine learning
techniques required for classifying and indexing image regions from
multimodal features will be a focus of the PhD. Goal is to find
abnormal regions based on training data supplied by medical
professionals in heterogeneous image series. Finally, the results are
planned to be included into innovative user interfaces to deliver a
diagnostic aid to the clinicians in the Geneva University Hospitals. A
close collaboration with the Geneva University Hospitals and the
University of Geneva is foreseen throughout the project.

The candidate is expected to have a Masters/Diploma degree in computer
science, mathematics or a closely related field, and to have knowledge
in image or signal processing, in machine learning and information
retrieval.

The expertise and experience of the ideal applicant should fit the
following profile in decreasing order of importance:
* biomedical informatics;
* multimedia indexing;
* machine learning;
* image processing;
* information retrieval;
* artificial intelligence;
* computer vision;

Experience in software development using Java and web programming
(HTML, JavaScript, Flex, PHP, MySQL) is desirable. Applications should
include a letter of motivation, a curriculum vitae, and names and
addresses of three referees. Applications by email are welcome. If
sufficient mutual interest develops then referees will be contacted to
ascertain suitability for the position.

For more information on the project or the application process please
contact: mailto:henning...@sim.hcuge.ch

LANGUAGE:
Good knowledge of either French or English is mandatory. French is the
spoken language in Sierre so some knowledge of French is beneficial. The
candidate should be willing to learn some French.

ENVIRONMENT:
* MedGIFT project: http://www.sim.hcuge.ch/medgift/
* University of Applied Sciences Western Switzerland (HES-SO):
http://iig.hevs.ch/
* Medical Informatics Service, University Hospitals of Geneva:
http://www.sim.hcuge.ch/
* In the context of the same topic three EU and one national project
have been granted allowing a close collaboration in a team on related topics
* The offices are located in the heart of the canton of Valais and the
high Swiss Alps, minutes from ski resorts such as Crans Montana
* The location is very central in Europe:
Traveling by train to Milano 2.5 hrs, Geneva 2 hrs, and Zurich 2.5 hrs.

SALARY:
Switzerland is a relatively expensive place, but the salary of a PhD
student permits to cover all living costs easily. Finding a flat in
Sierre or the environments is not hard and the quality of life is very high.

DURATION:
The position is expected to start in September 2010, or as soon as
possible afterwards.
Salary is guaranteed for 2 years with a continuation foreseen for
another two years to finish the PhD.

APPLICATION:
Please send applications to:
Henning M�ller, University of Applied Sciences Western Switzerland (HES-SO)
TechnoArk 3, 3960 Sierre, Switzerland
mailto:henning...@sim.hcuge.ch

------------------------------

From: "Deng, Xiang SLC CT PEK" <xiang...@siemens.com>
Subject: JOB : Research Scientist - Siemens - China

Position: Medical Imaging Research Scientist
Organization: Siemens Corporate Technology China
Location: Beijing

DESCRIPTION

Center for Medical Imaging Validation (CMIV) in Medical Research group
of Siemens Corporate Technology China has an immediate opening for a
"Research Scientist". CMIV is located in Beijing and is a joint
research team of Siemens Corporate Research, US and Siemens Corporate
Technology China. CMIV is developing an innovative Advanced
Validation Workspace that integrates, analyzes and reports on complex
data from medical imaging applications, and turning it into insight
that is used to deliver the highest quality of applications possible.

The successful candidate will be part of a diverse group including
engineers, physicists, radiologists, and statisticians. He/she will
be responsible for developing innovative technology for a variety of
applications in medical image processing/analysis and medical imaging,
with an emphasis on validation methods and tools for medical imaging
applications.

QUALIFICATIONS

The ideal candidate should have a doctoral or master degree in
electrical engineering, computer science, or biomedical engineering,
with strong R&D experience in the fields of image processing, image
analysis, computer vision, scientific visualization, and computer
graphics,

Strong programming skill in C/C++ or Java is required. Expertise in
ITK, VTK, OpenGL or Open Inventor is preferable. Working experience
in developing medical imaging applications is highly desirable
(segmentation, registration, PACS, etc.). Good English communication
skills are required.

Candidates with problem solving skills and desire and ability to learn
new technologies and apply them to challenging problems will find a
stimulating and rewarding career at CMIV.

Doctoral degree with 1 year experience minimum or master degree with 3
years experience minimum

Qualified applicants may submit their resume via
mailto:hiring_c...@siemens.com . Only candidates being considered
will be contacted.

------------------------------

From: Elpitha Howington-Kraus <ahowi...@usgs.gov>
Subject: JOB : Interdisciplinary - USGS - Flagstaff, AZ

Title: Interdisciplinary (Physical Scientist, Geophysicist, Cartographer,
Geodesist or Mathematician)
Announcement: WR-2010-0248
Merit Promotion Announcement: WR-2010-0342
Job Series and Grade: GS-1301, 1313, 1370, 1372 or 1520, grade 9/11/12
Salary: GS-9: $47,448 - $61,678; GS-11 $57,408-$74,628; GS-12
$68,809-$89,450

Title: Interdisciplinary (Physical Scientist, Geophysicist, Cartographer,
Geodesist or Mathematician)
Announcement: WR-2010-0303
Merit Promotion Announcement: WR-2010-0344
Job Series and Grade: GS-1301, 1313, 1370, 1372 or 1520, grade 13
Salary: $81,823- $106,369

Qualifications for a given job series and grade level are based on
education and experience (see advertisement on USAJOBS for details).
Successful applicants will have professional to advanced knowledge in
one or more of photogrammetry, geodesy, cartography, remote sensing,
mathematics, image processing, and computer vision (camera models,
feature-based image matching, stereo vision, object tracking). Greatly
preferred is experience establishing regional- to global-scale control
networks or reference frames; using or developing components of
digital photogrammetric workstations and digital cartographic software
packages, with one or more computer programming or scripting languages
(preferably C, C++, Python or Perl); and with project management.

For position details and to apply online, visit USAJOBS at
http://www.usajobs.com/ :
-In the ?What: (keywords)? box, enter 1372
-In the ?Where: (city, state or zip code)? box, enter Flagstaff
-Click on Search Jobs
-To locate merit promotion advertisements, click on ?All jobs, public and
status? under Current Search to see all four advertisements.
-View advertisement
-Follow instructions under ?How to apply?.

For questions, call 916-278-9399, or email mailto:wrj...@usgs.gov .
To learn more about Astrogeology, visit http://astrogeology.usgs.gov/
To learn more about Flagstaff, visit
http://astrogeology.usgs.gov/About/Flagstaff/
The USGS is an Equal Employment Opportunity Employer.

------------------------------

From: "fengshi" <fen...@med.unc.edu>
Subject: JOB : Postdoc - UCLA - LA, CA

One postdoctoral researcher position is open immediately at the
Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, David
Geffen School of Medicine, UCLA. The ideal candidate should have a PhD
in Electric Engineering, Biomedical Engineering, Biophysics or related
fields. He or she is expected to develop advanced Arterial Spin
Labeling and functional MRI techniques, including both pulse sequences
and image reconstruction algorithms (e.g., radial, parallel imaging,
and sparse sampling). Past experience with pulse sequence programming
and image reconstruction on the Siemens platform is preferred but not
necessary. He or she is also expected to collaborate with various
clinical investigators and basic scientists in the UCLA health
sciences and the Laboratory of Neuro Imaging (LONI). The
Ahmanson-Lovelace Brain Mapping Center currently houses one Siemens
Tim Trio 3T scanner, one Siemens Sonata 1.5T scanner and one Bruker
Biospin 7T small bore scanner, all dedicated to research. A whole body
human 7T scanner is in the plan. This position is funded by an NIMH
grant for 2 years and can be extended to the 3rd year. UCLA offers a
competitive package for salary and benefits. Interested candidates can
send their CV to: Danny JJ Wang, PhD Associate Professor Department of
Neurology, UCLA Ahmanson-Lovelace Brain Mapping Center 660 Charles
E. Young Dr South Los Angeles, CA 90095 (voice) 310-794-7406 (fax)
mailto:JJ....@loni.ucla.edu

------------------------------

From: "Fernand Meyer" <me...@cmm.ensmp.fr>
Subject: JOB : Developer - Mines Paristech - Fontainebleau, FR

Title: CCTV intrusive inspection of pipes. Data acquisition and signal
processing for an automatic detection of objects in a sewer pipe. A
PhD thesis is proposed by the company Lyonnaise des Eaux, in
association with the Centre de Morphologie Mathematique (Mines
paristech, Fontainebleau, http://cmm.ensmp.fr ). This work will take
place in Fontainebleau (France), under a CIFRE contract.

The experience got from analysing sewers CCTV inspection data shows
that the inspection data are inconsistent. Great care is therefore
required in the use of any models for planning of rehabilitation
actions that are based upon CCTV data. Minimizing errors and
uncertainty in CCTV inspection processing is therefore of utmost
importance for planning rehabilitation works and reaching the best
value for the invested money.

In order to describe each stage of the inspection process and the
subsequent data processing requirements, it is necessary to be able to
distinguish between:
* automatic detection of objects (detect any noteworthy object present
in the inspected environment e.g. is the specified object present or not)
* automatic detection of defects (assignment of features to detected
objects and determine the significance of the defect)
The stake of the research project is to perform an automatic detection
of objects in a sewer pipe.

This non-destructive-control problem will be tackled by methods from
(but not limited to) the domain of mathematical morphology, shape
analysis and computer vision. A multiscale analysis is to be performed
to obtain a set of pertinent descriptors ranging from low-level pixel
descriptors to high-level shape and position descriptors. The decision
making procedure will be based on a statistical analysis of the
descriptors.

Profile : Master (image processing / signal processing) - Statistical
learning & classification - Programming skills in C and C++

Position : available from September 1st 2010

Please e-mail your resume, marks sheet and recommendation letter(s)
to mailto:petr.d...@mines-paristech.fr

------------------------------

From: "Marc Servais" <marc.s...@sharp.co.uk>
Subject: JOB : Research Scientist/Eng - Sharp Labs - Oxford, UK

RESEARCH SCIENTIST/ENGINEER: IMAGE PROCESSING FOR 3D TV
Sharp Laboratories of Europe, Oxford, UK
http://www.sle.sharp.co.uk

Be part of the team developing revolutionary 3D displays.

In 2002 Sharp was the first company to launch 3D displays for the
consumer market. Sharp Laboratories of Europe is the key center
developing 3D technology for Sharp. We are recruiting a scientist or
engineer to develop new image processing and content creation
technologies that will enable the next generation of 3D displays.
The successful candidate will:
- Join an existing team developing image processing algorithms for 3D
displays and improved TV image quality
- Study systems and image issues for 3D and develop methods to enable
high quality 3D displays
- Develop hardware and software methods of generating 3D content
- Assess image quality issues for TV and develop image improvement
methods

You will be a high calibre, creative scientist or engineer with a
passion for technology. You will have at least a good degree (2.1 or
1st) in Computer Science / Mathematics / Engineering / Physics. You
will have experience in C and C++ programing and in working with
images, computer graphics or an interest in computer vision. In the
case of more experienced candidates, a track record of quality and
innovation in research as evidenced by significant publications,
patents or other achievements is required. Candidates should be
strongly motivated, possess good communication skills and show
evidence of an ability to work effectively as part of a team.

SLE offers full training for roles although you will likely already
have some experience in image processing / image science
technologies. In return, we offer an excellent relocation and
employment package including competitive salary, pension, life
assurance and local amenity benefits, with excellent training and
career development prospects.

SALARY: From =A328,000 depending on skills and experience

HOW TO APPLY: Applicants should send a covering letter and CV quoting
SLE-OIDS/TA03 to the HR department at mailto:jo...@sharp.co.uk

http://www.sle.sharp.co.uk/careers/jobinfo/oidsta03.pdf

------------------------------

From: "Peter Bannister" <peter.b...@eykona.com>
Subject: JOB : Software Engineers - Eykona Tech Ltd - Oxford, UK

Eykona Technologies Ltd develops hand-held 3D imaging systems for
clinical applications. Our first product will address the unmet need
for objective and accurate wound assessment and is based on
cutting-edge research from the University of Oxford.

Eykona seeks to appoint two Software Engineers, likely start date
mid-July 2010. Successful candidates will meet the following
requirements:

ESSENTIAL
. 2+ years commercial C++development experience using VisualStudio or
similar IDE.
. Detailed knowledge of Graphics/ User Interface development (including
OpenGL and preferably QT) or Database and Networking technologies (SQL, C#,
WebServices, HL-7).
. Degree-level or higher qualification in computing/mathematics/engineering.
. Excellent communication skills, including preparation of technical
documentation.

HIGHLY DESIRABLE
. Experience developing software under quality control, particularly ISO9001
/ ISO13485.
. Embedded device development under Linux or Windows.
. Research background in Computer Vision, Medical Image Analysis or a
related field.
. Experience of developing software for medical imaging applications.

Eykona is a young and dynamic company, committed to ongoing technical
innovation and improving patient outcomes, with a strong preference
for applicants who demonstrate a can-do attitude and a willingness to
learn new skills.

Salary offered will be dependent on experience and existing skill-set.
Please send your CV to Dr Peter Bannister (Product Development Manager):
mailto:peter.b...@eykona.com .

Please note that we do not accept third party applications under any
circumstances.

Eykona Technologies Limited is a limited company, registered in England and
Wales under number 5918197. Its registered office is at 33-35 George Street,
Oxford OX1 2AY.

Information contained in this email (and any attachments) may be
confidential and is for the sole use of the intended recipient. If the email
has been sent to you in error, please delete it (and any attachments and
copies) from your system and notify the sender immediately. Thank you.

------------------------------

End of VISION-LIST digest 29.4
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